Curriculum Vitae Paul R. Cohen - sista - University of Arizona
Curriculum Vitae Paul R. Cohen - sista - University of Arizona
Curriculum Vitae Paul R. Cohen - sista - University of Arizona
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<strong>Paul</strong> R. <strong>Cohen</strong>–<strong>Curriculum</strong> Vita 22<br />
Daniel Hewlett and <strong>Paul</strong> <strong>Cohen</strong>. Word Segmentation as General Chunking Psychocomputational<br />
Models <strong>of</strong> Language Acquisition Workshop (PsychoCompLA). 2009.<br />
Aram Galstyan, Sinjini Mitra, and <strong>Paul</strong> <strong>Cohen</strong> (2007) Detecting and Tracking Hostile Plans in the<br />
Hats World, AAAI workshop on Plan, Activity, and Intent Recognition, PAIR-07, Vancouver,<br />
Canada.<br />
Clayton T. Morrison and <strong>Paul</strong> R. <strong>Cohen</strong>. Designing Experiments to Test Planning Knowledge about<br />
Plan-step Order Constraints. Presented at the Workshop on Artificial Intelligence Planning<br />
and Learning, in conjunction with the International Conference on Automated Planning and<br />
Scheduling (ICAPS-07), 2007.<br />
Clayton T. Morrison and <strong>Paul</strong> R. <strong>Cohen</strong>. (2007). Designing Experiments to Test and Improve<br />
Hypothesized Planning Knowledge Derived From Demonstration. In Papers from the 2007<br />
AAAI Workshop on Acquiring Planning Knowledge via Demonstration. AAAI Press, Technical<br />
Report WS-07-02.<br />
Clayton Morrison and Yu-Han Chang and <strong>Paul</strong> <strong>Cohen</strong> and Joshua Moody. Experimental State<br />
Splitting for Transfer Learning, ICML 2006 Workshop on Structural Knowledge Transfer for<br />
Machine Learning. 2006.<br />
Clayton T. Morrison and <strong>Paul</strong> R. <strong>Cohen</strong>. (2005). Noisy Information Value in Utility-Based Decision<br />
Making. In Proceedings <strong>of</strong> the Workshop on Utility-Based Data Mining, held in conjunction<br />
with The 11th ACM SIGKDD International Conference on Knowledge Discovery and Data<br />
Mining (KDD 2005), Chicago, IL<br />
Book Chapters:<br />
Erin N. Cannon, <strong>Paul</strong> R. <strong>Cohen</strong>. Talk about motion: The semantic representation <strong>of</strong> verbs by<br />
motion dynamics. Forthcoming book on Language and Space, edited by Linda Smith.<br />
C. McGeoch, P. Sanders, R. Fleischer, P. <strong>Cohen</strong>, and D. Precup. “Using Finite Experiments<br />
to Study Asymptotic Performance” Experimental Algorithmics: From Algorithm Design to<br />
Robust and Efficient S<strong>of</strong>tware. R. Fleischer, B. Moret, E.M. Schmidt (Eds.) Springer, LNCS<br />
2547. pp. 93 - 124. 2002.<br />
Oates, Tim; Firoiu, Laura; and <strong>Cohen</strong>, <strong>Paul</strong> R. Using Dynamic Time Warping to Bootstrap HMM-<br />
Based Clustering <strong>of</strong> Time Series. In Ron Sun and Lee Giles, editors, Sequence Learning:<br />
Paradigms, Algorithms and Applications. Springer-Verlag, 2001.<br />
M. Ramoni, P. Sebastiani and P. <strong>Cohen</strong> (2001). Sequence Learning via Bayesian Clustering by<br />
Dynamics. In L. Giles and R. Sun, editors, Sequence Learning: Paradigms, Algorithms, and<br />
Applications, Springer, New York, NY. 11-34.<br />
<strong>Paul</strong> R. <strong>Cohen</strong>, Tim Oates and Robert St. Amant. 1996. Simulation for ARPI and the Air<br />
Campaign Simulator. Advanced Planning Technology: Technological Achievements <strong>of</strong> the<br />
ARPA/Rome Laboratory Planning Initiative, A. Tate, Editor. AAAI Press, pp. 105-112.<br />
<strong>Paul</strong> R. <strong>Cohen</strong>, Scott Anderson and David Westbrook. 1996. Plan Steering and Mixed-Initiative<br />
Planning. Advanced Planning Technology: Technological Achievements <strong>of</strong> the ARPA/Rome<br />
Laboratory Planning Initiative, A. Tate, Editor. AAAI Press, pp. 113-118.